معرفی
John Moriarty is a Professor of Mathematics at Queen Mary University of London (QMUL), serving as the School Impact Lead in the School of Mathematical Sciences. Prior to QMUL, he held a Senior Lecturer position in Probability and Statistics at the University of Manchester. He earned a BA in Mathematical Sciences, M.Sc. in Applied Statistics, and D.Phil. in Mathematics from the University of Oxford. His postdoctoral research included a fellowship at University College Cork. He secured prestigious grants, including an EPSRC Early Career Research Fellowship (2013–2020) and an Alan Turing Institute Research Fellowship (2020–2022). His research focuses on applied probability, stochastic control, and their applications in energy systems, particularly optimal stopping, risk management, and energy market modeling.
Key roles and contributions include organizing the 2019 Isaac Newton Institute programme on the Mathematics of Energy Systems and leading initiatives in energy resilience and optimization. His work bridges theoretical probability with practical challenges in energy infrastructure, emphasizing risk-aware decision-making and computational methods for complex systems.
His awards include fellowships from EPSRC and the Alan Turing Institute. Research outputs span energy systems, stochastic control, and probabilistic methods, with applications in finance and engineering. He is actively involved in collaborative projects addressing energy market dynamics, grid stability, and sustainable resource management.
